Oil-immersed mutual inductor online monitoring method, system and equipment based on multi-parameter fusion and medium
By using a multi-parameter fusion online monitoring method, which combines temperature, pressure, and secondary output parameters, comprehensive and accurate monitoring of oil-immersed instrument transformers is achieved. This solves the problems of single monitoring methods and low accuracy in existing technologies, and improves the operational reliability and fault early warning capabilities of the equipment.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-14
- Publication Date
- 2026-03-10
AI Technical Summary
Existing online monitoring methods for instrument transformers are limited in scope and accuracy, making it difficult to achieve real-time monitoring and effective early warning. This results in equipment failures not being detected in a timely manner, indicating significant room for improvement.
A multi-parameter fusion online monitoring method is adopted, which monitors the temperature, pressure and secondary output voltage/current of the oil-immersed instrument transformer in real time through temperature sensors, pressure sensors and secondary output modules. Combined with signal processing module and communication module, comprehensive analysis is performed to output alarm signal.
It enables comprehensive and accurate monitoring of the operating status of instrument transformers, timely detection of equipment defects, improved equipment reliability and fault diagnosis capabilities, and reduced economic losses caused by equipment failures.
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Figure CN121633959A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the field of online monitoring technology of oil-immersed mutual inductors, in particular to an online monitoring method, system, device and medium of oil-immersed mutual inductors based on multi-parameter fusion. BACKGROUND
[0002] Mutual inductors are the eyes of metering and protection of power grids, and play a crucial role in the operation of power systems. The faults such as internal insulation aging, partial discharge, water ingress and dampness of mutual inductor devices have a "latent nature". The 110kV-500kV device outage test is generally carried out for 7 years, which has a long cycle and cannot capture dynamic defects of the device. The online monitoring technology can track key parameters such as gas content, partial discharge and temperature change in the device oil in real time, issue early warning signals before the defects develop into breakdown, explosion and other serious faults, avoid device tripping, fire and large-area power failure caused by mutual inductor faults, and reduce economic losses and social impact.
[0003] At present, the online monitoring methods of mutual inductors mainly include monitoring device dielectric loss, oil chromatography, partial discharge and other means. Due to the high operation and maintenance cost, poor accuracy of online monitoring devices, insufficient maturity and other reasons, the existing monitoring devices and methods are less used in the field, and it is difficult to realize real-time online monitoring of the operating state of mutual inductors. There is no effective early warning measure for the development and sudden failure of the device, and the online monitoring technology of mutual inductors has a large room for improvement. Therefore, in order to improve the effectiveness and practicality of the online monitoring method of mutual inductors and reduce the operation failure of mutual inductors, it is urgent to develop an online monitoring method and system of oil-immersed mutual inductors based on multi-parameter fusion. SUMMARY
[0004] The purpose of the present application is to solve the problems of unstable online monitoring technology of mutual inductors and single monitoring method, and provide an online monitoring method, system, device and medium of oil-immersed mutual inductors based on multi-parameter fusion.
[0005] One object of the present application is to provide an online monitoring method of oil-immersed mutual inductors based on multi-parameter fusion. The operating state of the device is comprehensively mastered through comprehensive monitoring of three state quantities, and the online monitoring of mutual inductor devices is realized. The method comprises:
[0006] The operating temperature of the oil-immersed mutual inductor is collected in real time by the temperature sensor, and horizontal and vertical comparisons are made, and an alarm signal is output according to the comparison result;
[0007] The operating pressure of the oil-immersed mutual inductor is monitored in real time by the pressure sensor, the pressure and pressure change rate of the oil-immersed mutual inductor are analyzed, and an alarm signal is output according to the analysis result;
[0008] The secondary output module collects the secondary output voltage or secondary output current of the oil-immersed instrument transformer in real time, monitors the secondary output voltage and secondary output current, and outputs alarm signals based on the monitoring results.
[0009] Among them, the operating temperature of the oil-immersed instrument transformer is collected in real time by temperature sensors, and horizontal and vertical comparisons are performed. This includes: when the temperature change at the current moment exceeds the first temperature threshold compared with the temperature at the same moment the previous day, an alarm signal is issued; horizontal comparisons are performed between the three-phase oil-immersed instrument transformers, and when the temperature difference between the three-phase oil-immersed instrument transformers exceeds the second temperature threshold, an alarm signal is issued.
[0010] The first temperature threshold is 5K, and the second temperature threshold is 2K.
[0011] The system monitors the operating pressure of the oil-immersed instrument transformer in real time using a pressure sensor, and analyzes the equipment pressure and pressure change rate. This includes issuing an alarm signal when the internal pressure of the oil-immersed instrument transformer is greater than a first pressure threshold or less than a second pressure threshold, or when the equipment pressure change rate is greater than or equal to a pressure change rate threshold. The first pressure threshold is a positive pressure value, and the second pressure threshold is a negative pressure value. The absolute values of the two thresholds may be the same or different.
[0012] Wherein, the first pressure threshold is 20 kPa, the second pressure threshold is -20 kPa, and the pressure change rate threshold is 4 kPa / 24h.
[0013] The step of acquiring the secondary output voltage of the oil-immersed voltage transformer or the secondary current of the oil-immersed current transformer in real time through the secondary output module, and monitoring the secondary output voltage and secondary output current, includes:
[0014] An alarm signal is issued when the voltage of the oil-immersed voltage transformer is detected to exceed the voltage fluctuation range.
[0015] An alarm signal was issued when the current in the oil-immersed current transformer was detected to be outside the current fluctuation range.
[0016] The voltage fluctuation range is ±10%, including issuing an alarm signal when the secondary voltage output line voltage exceeds 90V to 110V or the phase voltage exceeds 52V to 64V.
[0017] The current fluctuation range is 0 to 120%, including issuing an alarm signal when the secondary current output exceeds 0 to 1.2A when the rated current is 1A or exceeds 0 to 6A when the rated current is 5A.
[0018] A second objective of this invention is to provide an online monitoring system for oil-immersed instrument transformers based on multi-parameter fusion, comprising:
[0019] The data acquisition module includes a temperature sensor, a pressure sensor, and a secondary output module. The sampling frequency is at the millisecond level. It is used to acquire the operating temperature of the oil-immersed instrument transformer in real time, the operating pressure of the oil-immersed instrument transformer in real time, and the secondary output voltage or secondary output current of the oil-immersed instrument transformer in real time.
[0020] The signal processing module is used to perform horizontal and vertical comparisons based on the operating temperature of the oil-immersed instrument transformer, analyze the pressure and pressure change rate of the oil-immersed instrument transformer, monitor the secondary output voltage and secondary output current, and output alarm signals based on the temperature comparison results, pressure and its change rate judgment results, and secondary output voltage or secondary output current judgment results.
[0021] The communication module connects the signal processing module to the main control room and transmits the alarm signal to the main control room.
[0022] The temperature sensor is located at the bottom of the oil tank or on the middle side wall of the outer insulating sleeve of the oil-immersed instrument transformer, and the pressure sensor is located at the bottom of the oil tank or base of the oil-immersed instrument transformer. The accuracy of the temperature sensor and the pressure sensor is 0.2 class.
[0023] A third objective of this invention is to provide a computer device, including a memory, a processor, and a computer program stored in the memory, wherein the processor executes the program to implement the online monitoring method for oil-immersed transformers based on multi-parameter fusion.
[0024] A fourth objective of this invention is to provide a computer storage medium storing a computer program, which, when executed by a processor, implements the online monitoring method for oil-immersed instrument transformers based on multi-parameter fusion.
[0025] The online monitoring method of this invention integrates multiple parameters such as equipment operating temperature, pressure, and secondary output for comprehensive monitoring. It monitors the operating status of the equipment from its essence, and can more comprehensively and accurately reflect the operating status of the instrument transformer. It solves the problems of unstable online monitoring technology, single monitoring method, and low accuracy of monitoring device, improves the operational reliability of instrument transformer equipment, and provides a reference for equipment defect analysis and fault diagnosis.
[0026] The online monitoring system of the present invention features miniaturization and integration, integrating data acquisition modules, signal processing modules and communication modules together, which greatly reduces the size and weight of the equipment and improves the stability, reliability and maintainability of the monitoring device.
[0027] The online monitoring method and system of this invention are not limited to monitoring a single parameter, but integrate multiple parameters such as temperature, pressure, and secondary output for comprehensive monitoring. This allows for a more comprehensive and accurate reflection of the operating status of the instrument transformer. It is applicable to the online monitoring of the electromagnetic units of oil-immersed electromagnetic current transformers, voltage transformers, and capacitive voltage transformers. The design is reasonable and the monitoring is accurate, effectively solving the problems of unstable online monitoring technology, single monitoring methods, and low accuracy of monitoring devices. It can promptly detect equipment defects, improve the operational reliability of instrument transformer equipment, and provide a reference for equipment defect analysis and fault diagnosis, thus promoting the low-carbon and environmentally friendly development of the power grid. Attached Figure Description
[0028] Figure 1 This is a schematic diagram of the online monitoring system for oil-immersed instrument transformers based on multi-parameter fusion according to the present invention. Detailed Implementation
[0029] The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
[0030] In an exemplary embodiment of this application, the online monitoring method for oil-immersed instrument transformers based on multi-parameter fusion comprehensively monitors three state variables to fully grasp the operating status of the equipment and realize online monitoring of the instrument transformer equipment; comprising:
[0031] The operating temperature of the oil-immersed instrument transformer is collected in real time by a temperature sensor, and horizontal and vertical comparisons are performed. An alarm signal is output based on the comparison results.
[0032] The operating pressure of the oil-immersed instrument transformer is monitored in real time by a pressure sensor, the pressure and pressure change rate of the oil-immersed instrument transformer are analyzed, and an alarm signal is output based on the analysis results.
[0033] The secondary output module collects the secondary output voltage or secondary output current of the oil-immersed instrument transformer in real time, monitors the secondary output voltage and secondary output current, and outputs alarm signals based on the monitoring results.
[0034] The method of this invention uses a temperature sensor (such as a platinum resistance thermometer) to collect the equipment's operating temperature in real time and performs lateral and longitudinal comparisons to monitor defects such as overheating, moisture absorption, and insulation. It also uses a pressure sensor to monitor the equipment's operating pressure in real time, analyzes the pressure and pressure change rate, and monitors for oil leakage and insulation defects. Furthermore, by connecting secondary voltage and current, it monitors the secondary voltage and current output in real time, identifying defects in the secondary windings and secondary output circuits. Through the comprehensive monitoring of these three state variables, the operating status of the equipment can be fully understood, enabling online monitoring of the instrument transformer equipment.
[0035] The temperature sensor (platinum resistance thermometer) is located at the bottom of the transformer tank or on the middle side wall of the outer insulation sleeve. With an accuracy of 0.2%, it collects the equipment's operating temperature in real time and compares it longitudinally with the equipment's own temperature changes. An alarm signal is issued when the temperature change exceeds 5K compared to the same time the previous day. Lateral comparisons are made between the three transformers; an alarm signal is issued when the temperature difference between the three transformers exceeds 2K. Temperature monitoring can effectively detect abnormal heating, moisture absorption, insulation defects, and other problems in the equipment.
[0036] The pressure sensor, located at the bottom of the transformer's oil tank or base, has an accuracy of 0.2 class and collects the equipment's operating pressure in real time. An alarm signal is issued when the internal pressure exceeds 20 kPa or falls below -20 kPa, or when the pressure change rate is greater than or equal to 4 kPa / 24h. The pressure threshold setting considers not only the effective operating point of the expander but also the impact of thermal expansion and contraction due to daily temperature changes, ensuring accuracy and reliability. Pressure monitoring can effectively detect defects such as oil leaks and insulation issues.
[0037] The secondary output module (secondary side acquisition module) collects the secondary output voltage of the voltage transformer and the secondary current of the current transformer in real time. The voltage fluctuation range of the voltage transformer is ±10%, that is, when the secondary voltage output exceeds 90V~110V (line voltage) or 52V~64V (phase voltage), an alarm signal is issued; the current fluctuation range of the current transformer is 0~120%, that is, when the secondary current output exceeds 0~1.2A (rated current of 1A) or 0~6A (rated current of 5A), an alarm signal is issued; by monitoring the secondary voltage and secondary current of the equipment, defects in the secondary winding and secondary wiring of the transformer can be effectively detected.
[0038] This invention also provides an online monitoring system for oil-immersed instrument transformers based on multi-parameter fusion, comprising:
[0039] The data acquisition module includes a temperature sensor, a pressure sensor, and a secondary output module. The sampling frequency is at the millisecond level. It is used to acquire the operating temperature of the oil-immersed instrument transformer in real time, monitor the operating pressure of the oil-immersed instrument transformer in real time, and acquire the secondary output voltage or secondary output current of the oil-immersed instrument transformer in real time.
[0040] The signal processing module is used to perform horizontal and vertical comparisons based on the operating temperature of the oil-immersed instrument transformer, analyze the pressure and pressure change rate of the oil-immersed instrument transformer, monitor the secondary output voltage and secondary current output, determine the results based on the temperature comparison results, pressure and its change rate, and output alarm signals based on the monitoring results.
[0041] The communication module connects the signal processing module to the main control room and transmits the alarm signal to the main control room.
[0042] The temperature sensor is located at the bottom of the oil tank or on the middle side wall of the outer insulating sleeve of the oil-immersed instrument transformer, and the pressure sensor is located at the bottom of the oil tank or base of the oil-immersed instrument transformer. The accuracy of the temperature sensor and the pressure sensor is 0.2 class.
[0043] In this application, the online monitoring system includes a data acquisition module, a signal processing module, and a communication module. It transmits the data signals collected by the sensors to the signal processing circuit in real time for calculation and analysis. When the status signal reaches a set threshold, an alarm signal is issued, providing decision analysis for maintenance personnel. The data acquisition module collects sensor signals in real time at a sampling frequency of milliseconds; the signal processing module performs logical judgment and analysis on the collected data to determine the operating status of the current transformer; the communication module transmits the judgment information to the backend, and an alarm signal is issued when the set threshold is exceeded. Figure 1 As shown, the online monitoring system integrates data acquisition modules, signal processing circuits, and communication modules, reducing the size and weight of the equipment. It features miniaturization and integration, making it convenient and practical, and effectively improving the reliability and accuracy of the online monitoring system.
[0044] In this application, the online monitoring system calculates and analyzes the collected data according to the online monitoring method for oil-immersed instrument transformers based on multi-parameter fusion, accurately monitors the operating status of the instrument transformer equipment, and realizes defect and fault alarms. Specifically, the operating temperature of the instrument transformer equipment is collected through a temperature sensor, the internal pressure of the instrument transformer equipment is collected through a pressure sensor, and the secondary output of the instrument transformer equipment is collected in real time. The temperature, pressure, and secondary output data are collected into the data acquisition module. The data acquisition module transmits the collected data to the signal processing module for calculation and analysis, and makes corresponding decisions. The signal processing module transmits the decision information to the communication module. The communication module transmits the alarm status information to the main control room system. When an alarm signal occurs, it prompts the maintenance personnel that the equipment is abnormal, providing a basis for their decision-making.
[0045] This invention also provides a computer device, including a memory, a processor, and a computer program stored in the memory. When the processor executes the program, it implements the online monitoring method for oil-immersed current transformers based on multi-parameter fusion.
[0046] This invention also provides a computer storage medium storing a computer program, which, when executed by a processor, implements the online monitoring method for oil-immersed instrument transformers based on multi-parameter fusion.
[0047] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. It will be apparent to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or basic features of the present invention.
[0048] Therefore, the embodiments should be regarded as exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, it is intended that all variations falling within the meaning and scope of the equivalents of the claims be included within the invention.
[0049] Furthermore, it should be understood that although this specification describes embodiments, not every embodiment contains only one independent technical solution. This narrative style is merely for clarity. Those skilled in the art should consider the specification as a whole, and the technical solutions in each embodiment can also be appropriately combined to form other embodiments that can be understood by those skilled in the art.
Claims
1. An on-line monitoring method for oil-immersed mutual inductors based on multi-parameter fusion, characterized in that, Through the comprehensive monitoring of the three state quantities, the running state of the equipment is comprehensively mastered, and the on-line monitoring of the transformer equipment is realized; comprising: Through the temperature sensor, the running temperature of the oil-immersed transformer is collected in real time, and horizontal and vertical comparisons are made, and an alarm signal is output according to the comparison result; Through the pressure sensor, the running pressure of the oil-immersed transformer is monitored in real time, the pressure and the pressure change rate of the oil-immersed transformer are analyzed, and an alarm signal is output according to the analysis result; Through the secondary output module, the secondary output voltage or the secondary output current of the oil-immersed transformer is collected in real time, the secondary output voltage and the secondary output current are monitored, and an alarm signal is output according to the monitoring result.
2. The method according to claim 1, wherein, Through the temperature sensor, the running temperature of the oil-immersed transformer is collected in real time, and horizontal and vertical comparisons are made, including: when the temperature change of the current time and the same time of the previous day exceeds the first temperature threshold, an alarm signal is sent; when the temperature difference between the three-phase oil-immersed transformers exceeds the second temperature threshold, an alarm signal is sent.
3. The method according to claim 2, wherein, The first temperature threshold is 5K, and the second temperature threshold is 2K.
4. The method according to claim 1, wherein, Through the pressure sensor, the running pressure of the oil-immersed transformer is monitored in real time, the pressure and the pressure change rate of the equipment are analyzed, including: when the internal pressure of the oil-immersed transformer is greater than the first pressure threshold or less than the second pressure threshold, or the pressure change rate of the equipment is greater than or equal to the pressure change rate threshold, an alarm signal is sent; wherein the first pressure threshold is a positive pressure value, the second pressure threshold is a negative pressure value, and the absolute values of the two are the same or different.
5. The method according to claim 4, wherein, The first pressure threshold is 20kpa, and the second pressure threshold is -20kpa; the pressure change rate threshold is 4kpa / 24h.
6. The method according to claim 1, wherein, The secondary output voltage or the secondary output current of the oil-immersed voltage transformer or the oil-immersed current transformer is collected in real time through the secondary output module, and the secondary output voltage and the secondary output current are monitored, including: When the voltage of the oil-immersed voltage transformer exceeds the voltage fluctuation range, an alarm signal is sent; When the current of the oil-immersed current transformer exceeds the current fluctuation range, an alarm signal is sent.
7. The method according to claim 6, wherein, The voltage fluctuation range is ±10%, including when the secondary voltage output line voltage exceeds 90V-110V or the phase voltage exceeds 52V-64V, an alarm signal is sent; The current fluctuation range is 0-120%, including when the secondary current output exceeds 0-1.2A at a rated current of 1A or exceeds 0-6A at a rated current of 5A, an alarm signal is sent.
8. An on-line monitoring system for oil-immersed mutual inductors based on multi-parameter fusion, characterized in that, Including: The data acquisition module includes a temperature sensor, a pressure sensor and a secondary output module, and the sampling frequency is millisecond level, which is used to collect the running temperature of the oil-immersed transformer in real time, collect the running pressure of the oil-immersed transformer in real time, and collect the secondary output voltage or the secondary output current of the oil-immersed transformer in real time; The signal processing module is used for horizontal and vertical comparison according to the running temperature of the oil-immersed transformer, analysis of the pressure and the pressure change rate of the oil-immersed transformer, and monitoring of the secondary output voltage and the secondary output current, and outputting an alarm signal according to the temperature comparison result, the pressure and the pressure change rate determination result, and the secondary output voltage or the secondary output current determination result; The communication module connects the signal processing module with the main control room and transmits the alarm signal to the main control room. The temperature sensor is arranged at the bottom of the oil tank of the oil-immersed mutual inductor or the side wall of the middle part of the outer insulation sleeve, and the pressure sensor is arranged at the bottom of the oil tank or the base of the oil-immersed mutual inductor, and the accuracy of the temperature sensor and the pressure sensor is 0.2 level.
9. Computer device comprising a memory, a processor and a computer program stored on the memory, characterized in that, The processor executes the program to realize the online monitoring method of the oil-immersed mutual inductor based on multi-parameter fusion according to any one of claims 1-7.
10. A computer storage medium storing a computer program, characterized in that The computer program is called and executed by the processor to realize the online monitoring method of the oil-immersed mutual inductor based on multi-parameter fusion according to any one of claims 1-7.